EP4026071A4 - Generating training data for machine-learning models - Google Patents

Generating training data for machine-learning models Download PDF

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Publication number
EP4026071A4
EP4026071A4 EP20860844.8A EP20860844A EP4026071A4 EP 4026071 A4 EP4026071 A4 EP 4026071A4 EP 20860844 A EP20860844 A EP 20860844A EP 4026071 A4 EP4026071 A4 EP 4026071A4
Authority
EP
European Patent Office
Prior art keywords
machine
training data
learning models
generating training
generating
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20860844.8A
Other languages
German (de)
French (fr)
Other versions
EP4026071A1 (en
Inventor
Soham Banerjee
Jayatu Sen Chaudhury
Prodip Hore
Rohit Joshi
Snehansu Sekhar SAHU
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
American Express Travel Related Services Co Inc
Original Assignee
American Express Travel Related Services Co Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by American Express Travel Related Services Co Inc filed Critical American Express Travel Related Services Co Inc
Publication of EP4026071A1 publication Critical patent/EP4026071A1/en
Publication of EP4026071A4 publication Critical patent/EP4026071A4/en
Pending legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/094—Adversarial learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
EP20860844.8A 2019-09-06 2020-09-04 Generating training data for machine-learning models Pending EP4026071A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/562,972 US20210073669A1 (en) 2019-09-06 2019-09-06 Generating training data for machine-learning models
PCT/US2020/049337 WO2021046306A1 (en) 2019-09-06 2020-09-04 Generating training data for machine-learning models

Publications (2)

Publication Number Publication Date
EP4026071A1 EP4026071A1 (en) 2022-07-13
EP4026071A4 true EP4026071A4 (en) 2023-08-09

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP20860844.8A Pending EP4026071A4 (en) 2019-09-06 2020-09-04 Generating training data for machine-learning models

Country Status (6)

Country Link
US (1) US20210073669A1 (en)
EP (1) EP4026071A4 (en)
JP (1) JP7391190B2 (en)
KR (1) KR20220064966A (en)
CN (1) CN114556360A (en)
WO (1) WO2021046306A1 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11158090B2 (en) * 2019-11-22 2021-10-26 Adobe Inc. Enhanced video shot matching using generative adversarial networks
KR20210071130A (en) * 2019-12-05 2021-06-16 삼성전자주식회사 Computing device, operating method of computing device, and storage medium
US20230083443A1 (en) * 2021-09-16 2023-03-16 Evgeny Saveliev Detecting anomalies in physical access event streams by computing probability density functions and cumulative probability density functions for current and future events using plurality of small scale machine learning models and historical context of events obtained from stored event stream history via transformations of the history into a time series of event counts or via augmenting the event stream records with delay/lag information
WO2023219371A1 (en) * 2022-05-09 2023-11-16 삼성전자주식회사 Electronic device for augmenting training data, and control method therefor
KR20240052394A (en) 2022-10-14 2024-04-23 고려대학교 산학협력단 Device and method for generating korean commonsense reasoning dataset
US11961005B1 (en) * 2023-12-18 2024-04-16 Storytellers.ai LLC System for automated data preparation, training, and tuning of machine learning models

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015176175A (en) 2014-03-13 2015-10-05 日本電気株式会社 Information processing apparatus, information processing method and program
WO2016061283A1 (en) * 2014-10-14 2016-04-21 Skytree, Inc. Configurable machine learning method selection and parameter optimization system and method
US20160132787A1 (en) * 2014-11-11 2016-05-12 Massachusetts Institute Of Technology Distributed, multi-model, self-learning platform for machine learning
US10332028B2 (en) * 2015-08-25 2019-06-25 Qualcomm Incorporated Method for improving performance of a trained machine learning model
GB201517462D0 (en) * 2015-10-02 2015-11-18 Tractable Ltd Semi-automatic labelling of datasets
JP6647632B2 (en) 2017-09-04 2020-02-14 株式会社Ｓｏａｔ Generating training data for machine learning
US10592779B2 (en) 2017-12-21 2020-03-17 International Business Machines Corporation Generative adversarial network medical image generation for training of a classifier
US10388002B2 (en) 2017-12-27 2019-08-20 Facebook, Inc. Automatic image correction using machine learning
KR101990326B1 (en) * 2018-11-28 2019-06-18 한국인터넷진흥원 Discount factor auto adjusting type reinforcement learning method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
KRISTOFER SCHLACHTER ET AL: "Beyond Photo Realism for Domain Adaptation from Synthetic Data", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 4 September 2019 (2019-09-04), XP081473643 *
See also references of WO2021046306A1 *
SETHIA AKHIL ET AL: "Data Augmentation using Generative models for Credit Card Fraud Detection", 2018 4TH INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION AND AUTOMATION (ICCCA), IEEE, 14 December 2018 (2018-12-14), pages 1 - 6, XP033584478, DOI: 10.1109/CCAA.2018.8777628 *

Also Published As

Publication number Publication date
CN114556360A (en) 2022-05-27
JP2022546571A (en) 2022-11-04
US20210073669A1 (en) 2021-03-11
WO2021046306A1 (en) 2021-03-11
EP4026071A1 (en) 2022-07-13
KR20220064966A (en) 2022-05-19
JP7391190B2 (en) 2023-12-04

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